Data Engineer 4 (Risk Tech)
Capital One2 months ago
Richmond, VA, USA or McLean, VA, USAStaff+
Base Salary
$179k - $225k/yr
Responsibilities
- Design, develop, test, implement, and support full-stack technical solutions across Agile teams.
- Influence and mentor developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
- Design, build, and independently deliver scalable cloud data solutions, applications, platforms, and pipelines.
- Architect and enforce reusable data engineering design patterns for code quality, maintainability, and consistency across platforms and pipelines.
- Design data models and end-to-end data solutions using relational and non-relational database systems.
- Ensure data platforms provide scalability, resilience, operational efficiency, and robust performance as data volume and business demands increase.
- Implement encryption at rest and in transit, fine-grained access controls, and data privacy compliance standards.
- Communicate technical concepts and data outcomes to internal and external stakeholders and collaborate with product managers and software engineering.
- Stay current with data technologies, participate in technology communities, and mentor members of the data community.
Requirements
- Bachelor’s degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of experience with distributed data, SQL, one programming language, and data pipeline design and development.
- At least 1 year of experience in data modeling and designing end-to-end solutions with relational and non-relational databases.
- Preferred: 7+ years of application development experience with Python, SQL, Scala, or Java.
- Preferred: 4+ years designing, deploying, and operating workloads in a public cloud, distributed data or compute workloads, real-time or streaming pipelines, NoSQL systems, or data warehouses.
- Preferred: experience with data observability, orchestration, reusable data products, vector embeddings, vector search, LLM context retrieval frameworks, and generative AI datasets.
Benefits
- Capital One offers health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- The role is eligible for performance-based incentive compensation, including possible cash bonuses and long-term incentives.
- The posting lists location-specific annual salary ranges for McLean and Richmond, Virginia; applications are accepted for a minimum of 5 business days.
Tech Stack
Categories
Data Engineering
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.